Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

This article presents a method for visualization of multivariate functions. The method is based on a tree structure--called the level set tree--built from separated parts of level sets of a function.

Introduction -- pt. I. Building core skills for visual analysis -- Information visualization -- Prerequisites for enlightening analysis -- Thinking with our eyes -- Analytical interaction and ...

Kang, E. L., Liu, D. and Cressie, N. (2009) Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computnl Statist.

The two terms data analysis and data visualization seem to have become synonymous in everyday language in the wider data community. Numerous job adverts focus on data visualization skills while not ...

A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

This concentration offers a rigorous and comprehensive curriculum designed to equip students with the practical skills and theoretical foundations that are needed to excel in fields strongly utilizing ...